tf.raw_ops.BatchDatasetV2

Creates a dataset that batches batch_size elements from input_dataset.

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.raw_ops.BatchDatasetV2

 
tf.raw_ops.BatchDatasetV2(
    input_dataset,
    batch_size,
    drop_remainder,
    output_types,
    output_shapes,
    parallel_copy=False,
    metadata='',
    name=None
)

input_dataset A Tensor of type variant.
batch_size A Tensor of type int64. A scalar representing the number of elements to accumulate in a batch.
drop_remainder A Tensor of type bool. A scalar representing whether the last batch should be dropped in case its size is smaller than desired.
output_types A list of tf.DTypes that has length >= 1.
output_shapes A list of shapes (each a tf.TensorShape or list of ints) that has length >= 1.
parallel_copy An optional bool. Defaults to False.
metadata An optional string. Defaults to "".
name A name for the operation (optional).

A Tensor of type variant.